The world's first real-time, AI-powered platform to detect and reverse insulin resistance—the earliest known predictor of Type 2 Diabetes.
NexFlow offers real-time insulin resistance monitoring through non-invasive methods, making early intervention accessible and affordable.
A real-time, AI-generated score from 0 to 100 that quantifies your risk of insulin resistance. Simply input lifestyle and biomarker data and receive an easy-to-understand score that updates as new data is logged.
Visualize how your IRScore evolves over time, helping you see the effects of specific habits. Track daily behaviors and biomarker updates to identify patterns, measure progress, and course-correct in real-time.
Receive personalized, science-backed suggestions based on your lifestyle and biomarker data. Each tip includes a projected IRScore gain, helping you take clear, goal-driven action.
Log your lifestyle factors (sleep, diet, activity) and biomarker data (glucose, insulin levels) through our simple interface. Connect with your existing health apps and wearables for seamless data integration.
Our AI algorithm processes your data to generate a personalized IRScore between 0-100, indicating your current insulin resistance risk level. The score updates in real-time as new data is logged.
Monitor your IRScore trajectory over time and receive personalized recommendations to improve your metabolic health. Each suggestion includes a projected impact on your IRScore.
Unlike competitors that rely on expensive and invasive methods for diabetes management such as CGMs, NexFlow provides real-time insulin resistance estimates using non-invasive lifestyle and biomarker data.
Feature | Levels | Signos | January AI | NexFlow |
---|---|---|---|---|
Real-Time IR Monitoring | ✗ | ✗ | ✗ | ✓ |
Non-Invasive & Accessible | ✗ | ✗ | ✓ | ✓ |
Predictive Lifestyle Modeling | ✗ | ✓ | ✓ | ✓ |
Personalized Pathways | ✗ | ✓ | ✓ | ✓ |
NexFlow addresses a massive and growing market of individuals at risk for metabolic disorders.
Our team combines expertise in biomedical research, machine learning, and digital health product development to create actionable, real-time tools for metabolic wellness.
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